962 results on '"Spanias, Andreas"'
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52. Unsupervised Learning
53. Conclusion and Future Directions
54. Machine and Deep Learning Algorithms and Applications
55. Introduction to Machine Learning
56. Supervised Learning
57. Semi-Supervised Learning
58. Positive Unlabeled Learning
59. Teaching Earth Signals Analysis Using the Java-DSP Earth Systems Edition: Modern and Past Climate Change
60. Max Consensus in Sensor Networks: Non-linear Bounded Transmission and Additive Noise
61. Undergraduate Signal Processing Laboratories for the Android Operating System
62. Distributed Node Counting in WSNs
63. Introduction
64. Noncentralized Estimation of Degree Distribution
65. Review of Consensus and Network Structure Estimation
66. Network Center and Coverage Region Estimation
67. Introduction
68. Empirically Estimable Classification Bounds Based on a New Divergence Measure
69. Introducing Quantum Computing in a Sophomore Signals and Systems Course
70. Robust Consensus in the Presence of Impulsive Channel Noise
71. Sequential Localization
72. Review of Localization Algorithms
73. Introduction to Localization
74. Introduction
75. Summary
76. Recovering Non-negative and Combined Sparse Representations
77. Kernel Sparse Models for Automated Tumor Segmentation
78. Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning
79. Learning Stable Multilevel Dictionaries for Sparse Representations
80. Ensemble Sparse Models for Image Analysis
81. Non-Linear Distributed Average Consensus using Bounded Transmissions
82. Quantum classification for synthetic aperture radar
83. Distributed SNR Estimation using Constant Modulus Signaling over Gaussian Multiple-Access Channels
84. On Inequalities Relating the Characteristic Function and Fisher Information
85. Distributed Detection over Fading MACs with Multiple Antennas at the Fusion Center
86. GNSS Signal Models
87. Introduction
88. Existing GNSS Multipath Mitigation Techniques
89. Investigating a Quantum Cloud Paradigm with Quantum Neural Networks
90. A Cyber-Physical Photovoltaic Array Monitoring and Control System
91. Topology Reconfiguration Using Neural Networks
92. Shading Prediction for Power Optimization
93. Fault Classification Using Machine Learning
94. Introduction
95. Summary
96. Machine Learning for Solar Array Monitoring, Optimization, and Control
97. Solar Array Research Testbed
98. Conclusion
99. DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
100. Signal Analysis-Synthesis Using the Quantum Fourier Transform
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